matlab

Matlab 实例-编写M脚本文件，涉及比较深层的 MATLAB 内容：脚本；函数（一般函数、内联函数、子函数、私用函数、方法函数）；程序调试和剖析；数据结构（类、对象）；重载和继承；面向对象编程。本章配备了许多精心设计的算例。这些算例是完整的，可直接演练的。读者通过这些算例，将真切感受到抽象概念的内涵、各指令间的协调，将从感知上领悟到面向对象编程的优越和至关要领。(Matlab Examples- the preparation of M script file, involving comparison MATLAB deeper content: script function (general function, inline function, Functions, Private Functions, methods, functions) program debugging and analysis data structure (class, object) Overloading and inheritance object-oriented programming. This chapter with a number of carefully designed examples. These examples are complete, can directly exercise. Through these examples the reader will really feel the meaning of abstract concepts, the coordination between commands from realizing that the perception of object-oriented programming and to the superior customs essentials.)

广义霍夫变换边缘提取代码，目标是针对图像中某一标识，进行识别和提取(Generalized Hough transform edge detection code, the goal is for the image of a logo, to identify and extract)

说明：  bp训练PID系数，《先进pid及MATLAB仿真》修改实现(bp training PID coefficients, pid advanced and MATLAB simulation, modified to achieve)

this source code is gm2lc matlab

Power distribution systems have tie and sectionalizing switches whose states determine the configuration of the network. Reconfiguration of distribution network is achieved through switching operation on switches of distribution network branches. Power companies are interested in finding the most efficient configuration for minimization of real power losses and load balancing among distribution feeders to save the energy and enhance the operation performance of distribution system. The objective of this thesis is to show that the ant colony optimization algorithm can be used successfully in the reconfiguration of electrical distribution networks to minimize the power losses of the system and to balance the loading of the feeders. This work is to provide a basis for power companies to use it in the reconfiguration of the distribution networks to reduce the operational costs and to enhance the performance of their networks.

加速度感应器的实现，重力加速度感应，感应器的DEmo(Implementation of the acceleration sensor, gravity sensor, the sensor DEmo)

最小二乘回归分析算法，可以动态调节运行环境的参数，阐述了负荷预测的应用研究。( Least-squares regression analysis algorithm, Can dynamically adjust the parameters of the operating environment, It describes the application of load forecasting.)

线性调频脉冲压缩雷达仿真，包括回波，脉冲压缩处理，雷达分辨力(Linear frequency modulated pulse compression radar simulation, including the echo, pulse compression processing, the radar resolution)

对Iris数据进行贝叶斯两类分类，实现正确与错误分类的比较(classification based on Bayes to the date of Iris)

根据学生两次考试成绩的数据来预测学生是否能被大学录取，用逻辑斯蒂回归算法实现，分别执行梯度下降算法、随机梯度下降算法、牛顿法(According student test scores twice to predict whether the student can be admitted to universities, implemented in logistic regression algorithm.)